Instructions to use skamus48/dMRI-IVIM-ML-Toolkit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use skamus48/dMRI-IVIM-ML-Toolkit with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("skamus48/dMRI-IVIM-ML-Toolkit", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Download src/__pycache__/ml_models.cpython-313.pyc from skamus48/dMRI-IVIM-ML-Toolkit: direct link, hf CLI and curl.
- Browser
- Download file 6.41 kB
-
https://huggingface.co/skamus48/dMRI-IVIM-ML-Toolkit/resolve/main/src/__pycache__/ml_models.cpython-313.pyc
- Command line
-
hf download hf://skamus48/dMRI-IVIM-ML-Toolkit/src/__pycache__/ml_models.cpython-313.pyc
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curl -L -o ml_models.cpython-313.pyc https://huggingface.co/skamus48/dMRI-IVIM-ML-Toolkit/resolve/main/src/__pycache__/ml_models.cpython-313.pyc
6.41 kB
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